Название: HTML5: Разработка приложений для мобильных устройств
Автор: Вейл Э.
Издательство: СПб.: Питер
Год: 2015
Cтраниц: 480
Формат: pdf
Размер: 11 мб
Язык: русский

Создавайте сногсшибательные сайты и приложения для любых мобильных и настольных платформ. Для этого вам потребуется всего лишь добавить в ваш инструментарий веб-разработки технологии HTML5 и CSS3. Вооружившись этой практичной книгой, вы научитесь разрабатывать веб-приложения, которые не только хорошо работают на iOS, Android, Blackberry и Windows Phone, но и очень удобны в использовании. Книга содержит множество примеров кода и разметки.

Название: Серия «Программирование для всех» в 2 книгах
Автор: разные
Издательство: АСТ
Год: 2023-2024
Формат: pdf
Размер: 10 Мб
Качество: Хорошее
Язык: Русский

Очень хочется стать программистом и войти в IT, но не знаете с чего начать? Поздравляю, в ваших руках учебник нового поколения – без кучи непонятных слов и кодов расскажем про инструменты и библиотеки для программирования на Python. И все это заправлено лайфхаками, вдохновляющими историями из мира настоящих хакеров и игрофикацией – потому что обучение не должно быть скучным.

Название: Django 5 Cookbook: 70+ problem solving techniques, sample programs, and troubleshoots across python programs and web apps
Автор: Clara Stein
Издательство: GitforGits
Год: 2024
Страниц: 214
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

For Python programmers, backend developers, and web developers looking to become experts in the Django framework and improve their problem-solving skills, "Django 5 Cookbook" is the simplest and easiest pocket solution book. This book presents a variety of recipes and solutions to the complex problems of developing web applications in a clear and concise manner. Presented in a logical progression from basic ideas to more complex implementations, this book covers every angle when it comes to Django. The first step in building powerful web apps is learning how to set up Django in a virtual environment. Models, databases, user interfaces, and authentication are all thoroughly covered as the script goes along, providing a strong groundwork for creating fast and secure applications. Django REST Framework integration with popular front-end frameworks like React.js and Vue.js, as well as the development of flexible APIs, are all covered in detail with sample programs. Chapters on CI/CD, logging with Prometheus, and safeguarding Django APIs highlight the significance of best practices in software development, while containerization with Docker and orchestration with Kubernetes simplify the deployment of scalable applications.

Название: A Narrative History of Artificial Intelligence: The Perpetual Frontier of Information Technology
Автор: Masayuki Ida
Издательство: Springer
Год: 2024
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

This book addresses the history of Artificial Intelligence through the author’s experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI. This book is suitable for anyone interested in the history of Artificial Intelligence. The content is easy to follow, even for readers without prior knowledge of AI. Experts will also find something new and thought-provoking.

Название: C# Compiler Construction: Build Robust Language Tools Targeting the .NET Framework
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Computer Science Fundamentals
Год: 2024
Страниц: 467
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock compiler construction secrets using C# in "C# Compiler Construction: Unlock the secrets of compiler construction with C# in "C# Compiler Construction: Build Robust Language Tools Targeting the .NET Framework." Dive into the world of software development and discover how to harness the power of C# to build robust language tools that target the .NET Framework. Explore strategies for designing, implementing, and optimizing compilers with C#: In this comprehensive guide, you'll learn the ins and outs of compiler construction with C# and explore specific strategies and techniques for designing, implementing, and optimizing compilers. From lexical and syntax analysis to semantic analysis and intermediate representation, this book covers everything you need to know to master the art of compiler construction. Gain skills to deepen understanding or start journey in compiler construction: Whether you're a seasoned developer looking to deepen your understanding of compiler construction or a newcomer eager to learn the ropes, "C# Compiler Construction" has something for everyone. With clear explanations, practical examples, and hands-on exercises, you'll gain the knowledge and skills you need to take your programming expertise to the next level. Compiler construction is a fundamental aspect of software development, enabling the translation of high-level programming languages into machine-readable code. In the context of C#, compiler construction holds particular significance due to its role in the .NET ecosystem.

Название: Деконструкция виртуальных миров. Заметки о дизайне уровней легендарных видеоигр
Автор: Михаил Кадиков
Издательство: Издательские решения
Год: 2023
Формат: PDF/fb2/epub
Страниц: 393
Размер: 272 Mb
Язык: Русский

Эта книга позволит вам взглянуть на видеоигры глазами профессионального разработчика. Деконструкции подверглись более двадцати легендарных игр от Nintendo, Valve, Naughty Dog, Rockstar Games, FromSoftware, CD Projekt RED и др. Вы узнаете, благодаря каким дизайнерским решениям виртуальные миры захватывают и удерживают внимание, превращают исследование локаций в увлекательное приключение и общаются с игроком посредством визуального языка. Ваш взгляд на игры уже не будет прежним!

Название: Artificial Intelligence for Science and Engineering Applications
Автор: Shahab D. Mohaghegh
Издательство: CRC Press
Год: 2024
Страниц: 126
Язык: английский
Формат: epub (true)
Размер: 17.3 MB

Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‑making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI. Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.

Название: Чистый дизайн. Практика эмпирического проектирования ПО
Автор: Кент Бек
Издательство: Спринт Бук
Год: 2024
Формат: pdf
Страниц: 176
Размер: 13,6 Мб
Язык: русский

Грязный код создает проблемы. Чтобы код было проще читать, приходится проводить его очистку, разбивая на части, с которыми удобно работать. Кент Бек, создатель методологии экстремального программирования и первопроходец в области паттернов проектирования, рассказывает нам, где и когда лучше проводить очистку для улучшения кода с учетом общей структуры системы. Книга не заставляет читателя проводить очистку сразу и целиком, а позволяет протестировать несколько примеров, которые подходят для поставленной задачи. Вы узнаете, как логически разделить на части большую функцию, содержащую множество строк кода. Познакомитесь с теоретическими понятиями программного дизайна: сцеплением, связностью, дисконтированными денежными потоками и вариативностью.

Название: Modern Data Mining with Python: A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps
Автор: Dushyant Singh Sengar, Vikash Chandra
Издательство: BPB Publications
Год: 2024
Страниц: 438
Язык: английский
Формат: epub (true)
Размер: 20.0 MB

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns. Enter into the world of data mining and Machine Learning. Use insights from various data sources, from social media to credit card transactions. Master statistical tools, explore data trends, and patterns. Understand decision trees and artificial neural networks (ANNs). Manage high-dimensional data with dimensionality reduction. Explore binary classification with logistic regression. Spot concealed patterns with unsupervised learning. Analyze text with recurrent neural networks (RNNs) and visuals with convolutional neural networks (CNNs). Ensure model compliance with regulatory standards. The book starts from the basics of statistics and exploratory data analysis and then ventures into advanced Deep Learning techniques. It emphasizes ethical Machine Learning model development, tackling biases, ensuring algorithmic transparency, and adhering to responsible AI principles. This approach is not only about learning techniques but also about becoming a responsible decision-maker in the data-driven business world. After reading this book, readers will be equipped with the skills and knowledge necessary to use Python for data mining and analysis in an industry set-up. They will be able to analyze and implement algorithms on large structured and unstructured datasets.

Название: Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Автор: Raj Arun R
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 566
Язык: английский
Формат: pdf, epub (true)
Размер: 10.9 MB

"Mastering Large Language Models with Python" is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of Artificial Intelligence. By the conclusion of this book, readers are not just familiarized with the theoretical underpinnings of LLMs but are also equipped with the hands-on experience necessary to implement these models in practical scenarios. Tailored for AI researchers, industry professionals, and academic students, this book serves as a comprehensive guide to navigating the promising yet complex world of Large Language Models.